Exploring the Materials Space via Regularized and Symbolic Regression

Ghiringhelli, Luca M.

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Talk

Exploring the Materials Space via Regularized and Symbolic Regression

MPS-Authors

/persons/resource/persons21549

Ghiringhelli, Luca M.
Theory, Fritz Haber Institute, Max Planck Society;

External Resource

No external resources are shared

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

There are no public fulltexts stored in PuRe

Supplementary Material (public)

There is no public supplementary material available

Citation

Ghiringhelli, L. M. (2019). Exploring the Materials Space via Regularized and Symbolic Regression. Talk presented at ML4MS 2019, Young Researcher’s Workshop on Machine Learning for Materials Science 2019, Aalto University. Helsinki, Finland. 2019-05.

Cite as: https://hdl.handle.net/21.11116/0000-0004-7A64-3

Abstract

There is no abstract available